Information Diffusion Model Based on Opportunity, Trust and Motivation. - Jihong Wan; Xiaoliang Chen; Yajun Du; Mengmeng Jia (CCIR, 2018)

Evolutionary Prediction of Information Propagation Dynamics Based on Time Series Characteristics. - Jihong Wan; Xiaoliang Chen; Yajun Du; Mengmeng Jia (CCIS, 2018)

Information propagation model based on hybrid social factors of opportunity, trust and motivation. - Jihong Wan; Xiaoliang Chen; Yajun Du; Mengmeng Jia (Neurocomputing, 2019)

A novel quantum grasshopper optimization algorithm for feature selection. - Dong Wang; Hongmei Chen 001; Tianrui Li 001; Jihong Wan; Yanyong Huang (Int. J. Approx. Reason., 2020)

Semi-supervised feature selection with minimal redundancy based on local adaptive. - Xinping Wu; Hongmei Chen 001; Tianrui Li 001; Jihong Wan (Appl. Intell., 2021)

Dynamic interaction feature selection based on fuzzy rough set. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Xiaoling Yang; Binbin Sang (Inf. Sci., 2021)

A novel hybrid feature selection method considering feature interaction in neighborhood rough set. - Jihong Wan; Hongmei Chen 001; Zhong Yuan; Tianrui Li 001; Xiaoling Yang; Binbin Sang (Knowl. Based Syst., 2021)

Neighborhood rough sets with distance metric learning for feature selection. - Xiaoling Yang; Hongmei Chen 001; Tianrui Li 001; Jihong Wan; Binbin Sang (Knowl. Based Syst., 2021)

Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection. - Hao Chen; Hongmei Chen 001; Weiyi Li; Tianrui Li 001; Chuan Luo 001; Jihong Wan (Neurocomputing, 2022)

Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization. - Congying Zeng; Hongmei Chen 001; Tianrui Li 001; Jihong Wan (Neurocomputing, 2022)

Semi-supervised feature selection via adaptive structure learning and constrained graph learning. - Jingliu Lai; Hongmei Chen 001; Weiyi Li; Tianrui Li 001; Jihong Wan (Knowl. Based Syst., 2022)

Unsupervised feature selection via self-paced learning and low-redundant regularization. - Weiyi Li; Hongmei Chen 001; Tianrui Li 001; Jihong Wan; Binbin Sang (Knowl. Based Syst., 2022)

Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification. - Binbin Sang; Hongmei Chen 001; Jihong Wan; Lei Yang; Tianrui Li 001; Weihua Xu 003; Chuan Luo 001 (Knowl. Based Syst., 2022)

R2CI: Information theoretic-guided feature selection with multiple correlations. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Wei Huang 037; Min Li; Chuan Luo 001 (Pattern Recognit., 2022)

Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification. - Binbin Sang; Hongmei Chen 001; Lei Yang; Jihong Wan; Tianrui Li 001; Weihua Xu 003 (IEEE Trans. Fuzzy Syst., 2022)

A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information. - Zhong Yuan; Hongmei Chen 001; Pengfei Zhang 016; Jihong Wan; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2022)

Gaussian Function Representation of 2nd-Order Normal Cloud Model. - Min Li; Guoyin Wang 001; Zeng Yu 001; Hongjun Wang 002; Jihong Wan; Tianrui Li 001 (ISKE, 2023)

Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Zhong Yuan; Jia Liu 033; Wei Huang 037 (IEEE Trans. Cybern., 2023)

Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Binbin Sang; Zhong Yuan (IEEE Trans. Fuzzy Syst., 2023)

FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework. - Wei Huang 037; Jia Liu 033; Tianrui Li 001; Tianqiang Huang; Shenggong Ji; Jihong Wan (IEEE Trans. Knowl. Data Eng., 2023)

Multi-view latent structure learning with rank recovery. - Jun He; Hongmei Chen 001; Tianrui Li 001; Jihong Wan (Appl. Intell., 2023)

Multiscale Fuzzy Entropy-Based Feature Selection. - Zhihong Wang; Hongmei Chen 001; Zhong Yuan; Jihong Wan; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2023)

Fuzzy rough dimensionality reduction: A feature set partition-based approach. - Zhihong Wang; Hongmei Chen 001; Xiaoling Yang; Jihong Wan; Tianrui Li 001; Chuan Luo 001 (Inf. Sci., 2023)

Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction. - Xiaocao Ouyang; Yan Yang 001; Yiling Zhang; Wei Zhou; Jihong Wan; Shengdong Du (Knowl. Based Syst., 2023)

High-order interaction feature selection for classification learning: A robust knowledge metric perspective. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Min Li; Xiaoling Yang (Pattern Recognit., 2023)

A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction. - Tengyu Yin; Hongmei Chen 001; Zhong Yuan; Jihong Wan; Keyu Liu; Shi-Jinn Horng; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2023)

Multi-Correlation Collaborative Computation for Featrue Selection with Uncertainty Measures. - Jihong Wan; Xiaoping Li 001; Hongmei Chen 001 (ACM TUR-C, 2024)

Multimodal federated learning: Concept, methods, applications and future directions. - Wei Huang 037; Dexian Wang 001; Xiaocao Ouyang; Jihong Wan; Jia Liu 033; Tianrui Li 001 (Inf. Fusion, 2024)

Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach. - Min Li; Guoyin Wang 001; Zeng Yu 001; Hongjun Wang 002; Jihong Wan; Tianrui Li 001 (Int. J. Mach. Learn. Cybern., 2024)

Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space. - Tengyu Yin; Hongmei Chen 001; Jihong Wan; Pengfei Zhang 016; Shi-Jinn Horng; Tianrui Li 001 (Inf. Fusion, 2024)

FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration. - Jihong Wan; Xiaoping Li 001; Pengfei Zhang 016; Hongmei Chen 001; Xiaocao Ouyang; Tianrui Li 001; Kay Chen Tan (Inf. Fusion, 2025)

Rethinking information fusion: Achieving adaptive information throughput and interaction pattern in graph convolutional networks for collaborative filtering. - Jiaxin Wu; Chenglong Pang; Guangxiong Chen; Jihong Wan; Xiaocao Ouyang; Jie Zhao (Inf. Fusion, 2025)

Feature selection based on fuzzy joint entropy and feature interaction for label distribution learning. - Dayong Deng; Jie Xu; Zhixuan Deng; Jihong Wan; Deyou Xia; Zhenxin Cao; Tianrui Li 001 (Inf. Process. Manag., 2025)